Class: OCI::AiVision::Models::Face
- Inherits:
-
Object
- Object
- OCI::AiVision::Models::Face
- Defined in:
- lib/oci/ai_vision/models/face.rb
Overview
The detected face.
Instance Attribute Summary collapse
-
#bounding_polygon ⇒ OCI::AiVision::Models::BoundingPolygon
This attribute is required.
-
#confidence ⇒ Float
[Required] The confidence score, between 0 and 1.
-
#embeddings ⇒ Array<Float>
The facial feature vectors of detected faces.
-
#landmarks ⇒ Array<OCI::AiVision::Models::Landmark>
A point of interest within a face.
-
#quality_score ⇒ Float
[Required] The quality score of the face detected, between 0 and 1.
Class Method Summary collapse
-
.attribute_map ⇒ Object
Attribute mapping from ruby-style variable name to JSON key.
-
.swagger_types ⇒ Object
Attribute type mapping.
Instance Method Summary collapse
-
#==(other) ⇒ Object
Checks equality by comparing each attribute.
-
#build_from_hash(attributes) ⇒ Object
Builds the object from hash.
- #eql?(other) ⇒ Boolean
-
#hash ⇒ Fixnum
Calculates hash code according to all attributes.
-
#initialize(attributes = {}) ⇒ Face
constructor
Initializes the object.
-
#to_hash ⇒ Hash
Returns the object in the form of hash.
-
#to_s ⇒ String
Returns the string representation of the object.
Constructor Details
#initialize(attributes = {}) ⇒ Face
Initializes the object
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# File 'lib/oci/ai_vision/models/face.rb', line 68 def initialize(attributes = {}) return unless attributes.is_a?(Hash) # convert string to symbol for hash key attributes = attributes.each_with_object({}) { |(k, v), h| h[k.to_sym] = v } self.confidence = attributes[:'confidence'] if attributes[:'confidence'] self.bounding_polygon = attributes[:'boundingPolygon'] if attributes[:'boundingPolygon'] raise 'You cannot provide both :boundingPolygon and :bounding_polygon' if attributes.key?(:'boundingPolygon') && attributes.key?(:'bounding_polygon') self.bounding_polygon = attributes[:'bounding_polygon'] if attributes[:'bounding_polygon'] self.quality_score = attributes[:'qualityScore'] if attributes[:'qualityScore'] raise 'You cannot provide both :qualityScore and :quality_score' if attributes.key?(:'qualityScore') && attributes.key?(:'quality_score') self.quality_score = attributes[:'quality_score'] if attributes[:'quality_score'] self.landmarks = attributes[:'landmarks'] if attributes[:'landmarks'] self. = attributes[:'embeddings'] if attributes[:'embeddings'] end |
Instance Attribute Details
#bounding_polygon ⇒ OCI::AiVision::Models::BoundingPolygon
This attribute is required.
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# File 'lib/oci/ai_vision/models/face.rb', line 17 def bounding_polygon @bounding_polygon end |
#confidence ⇒ Float
[Required] The confidence score, between 0 and 1.
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# File 'lib/oci/ai_vision/models/face.rb', line 13 def confidence @confidence end |
#embeddings ⇒ Array<Float>
The facial feature vectors of detected faces
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# File 'lib/oci/ai_vision/models/face.rb', line 29 def @embeddings end |
#landmarks ⇒ Array<OCI::AiVision::Models::Landmark>
A point of interest within a face.
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# File 'lib/oci/ai_vision/models/face.rb', line 25 def landmarks @landmarks end |
#quality_score ⇒ Float
[Required] The quality score of the face detected, between 0 and 1.
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# File 'lib/oci/ai_vision/models/face.rb', line 21 def quality_score @quality_score end |
Class Method Details
.attribute_map ⇒ Object
Attribute mapping from ruby-style variable name to JSON key.
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# File 'lib/oci/ai_vision/models/face.rb', line 32 def self.attribute_map { # rubocop:disable Style/SymbolLiteral 'confidence': :'confidence', 'bounding_polygon': :'boundingPolygon', 'quality_score': :'qualityScore', 'landmarks': :'landmarks', 'embeddings': :'embeddings' # rubocop:enable Style/SymbolLiteral } end |
.swagger_types ⇒ Object
Attribute type mapping.
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# File 'lib/oci/ai_vision/models/face.rb', line 45 def self.swagger_types { # rubocop:disable Style/SymbolLiteral 'confidence': :'Float', 'bounding_polygon': :'OCI::AiVision::Models::BoundingPolygon', 'quality_score': :'Float', 'landmarks': :'Array<OCI::AiVision::Models::Landmark>', 'embeddings': :'Array<Float>' # rubocop:enable Style/SymbolLiteral } end |
Instance Method Details
#==(other) ⇒ Object
Checks equality by comparing each attribute.
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# File 'lib/oci/ai_vision/models/face.rb', line 100 def ==(other) return true if equal?(other) self.class == other.class && confidence == other.confidence && bounding_polygon == other.bounding_polygon && quality_score == other.quality_score && landmarks == other.landmarks && == other. end |
#build_from_hash(attributes) ⇒ Object
Builds the object from hash
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# File 'lib/oci/ai_vision/models/face.rb', line 134 def build_from_hash(attributes) return nil unless attributes.is_a?(Hash) self.class.swagger_types.each_pair do |key, type| if type =~ /^Array<(.*)>/i # check to ensure the input is an array given that the the attribute # is documented as an array but the input is not if attributes[self.class.attribute_map[key]].is_a?(Array) public_method("#{key}=").call( attributes[self.class.attribute_map[key]] .map { |v| OCI::Internal::Util.convert_to_type(Regexp.last_match(1), v) } ) end elsif !attributes[self.class.attribute_map[key]].nil? public_method("#{key}=").call( OCI::Internal::Util.convert_to_type(type, attributes[self.class.attribute_map[key]]) ) end # or else data not found in attributes(hash), not an issue as the data can be optional end self end |
#eql?(other) ⇒ Boolean
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# File 'lib/oci/ai_vision/models/face.rb', line 114 def eql?(other) self == other end |
#hash ⇒ Fixnum
Calculates hash code according to all attributes.
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# File 'lib/oci/ai_vision/models/face.rb', line 123 def hash [confidence, bounding_polygon, quality_score, landmarks, ].hash end |
#to_hash ⇒ Hash
Returns the object in the form of hash
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# File 'lib/oci/ai_vision/models/face.rb', line 167 def to_hash hash = {} self.class.attribute_map.each_pair do |attr, param| value = public_method(attr).call next if value.nil? && !instance_variable_defined?("@#{attr}") hash[param] = _to_hash(value) end hash end |
#to_s ⇒ String
Returns the string representation of the object
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# File 'lib/oci/ai_vision/models/face.rb', line 161 def to_s to_hash.to_s end |